Swiss-AL: Platform for Language Data in Applied Sciences On Challenges in the Field of Language Open Research Data

Julia Krasselt, Philipp Dreesen, Peter Stücheli-Herlach, Dolores Lemmenmeier, Sooyeon Cho, K. Rothenhäusler, Matthias Fluor
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Abstract

Open Science is transforming the way researchers collect, process, analyze, and store empirical research data, particularly in the social sciences and humanities, where language data is crucial. This transformation process especially concerns developers and providers of large language corpora and manifests itself in at least three challenges when providing these corpora as Open Research Data (ORD). Challenges concern heterogeneous practices that researchers apply when working with language data, research data lifecycle, and legal and ethical aspect. In this paper, we present Swiss-AL, a language data platform developed in Switzerland that is being transformed into an Open Research Data Resource for Applied Sciences within the Swiss Open Science Strategy. The paper gives an overview over the data contained in Swiss-AL and the infrastructure that is used to process and analyze the data. Furthermore, it presents approaches to the three abovementioned challenges to language ORD.
应用科学语言数据平台——语言开放研究数据领域的挑战
开放科学正在改变研究人员收集、处理、分析和存储实证研究数据的方式,特别是在语言数据至关重要的社会科学和人文科学领域。这种转换过程尤其涉及大型语言语料库的开发人员和提供者,并且在将这些语料库作为开放研究数据(ORD)提供时至少表现出三个挑战。挑战涉及研究人员在处理语言数据、研究数据生命周期以及法律和道德方面应用的异构实践。在本文中,我们介绍了Swiss- al,这是一个在瑞士开发的语言数据平台,正在转变为瑞士开放科学战略中的应用科学开放研究数据资源。本文概述了Swiss-AL中包含的数据以及用于处理和分析数据的基础设施。此外,本文还提出了应对上述三种语言ORD挑战的方法。
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